{"id":"W4388483468","doi":"10.1016/j.oraloncology.2023.106622","title":"Predictors of prolonged treatment time intervals in oral cavity cancer","year":2023,"lang":"en","type":"article","venue":"Oral Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"Université de Montréal; AstraZeneca","keywords":"Medicine; Radiation therapy; Retrospective cohort study; Surgery; Port (circuit theory); Cohort; Confidence interval; Multivariate analysis; Logistic regression; Cancer; Oral and maxillofacial surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001971403,0.0001035278,0.0006636292,0.0001168742,0.00001884464,0.000001104654,0.00004236274,0.000100165,0.0002438802],"category_scores_gemma":[0.00005532414,0.00007472631,0.00006580775,0.0002895888,0.00009610374,0.00002471478,0.00004379908,0.0000883445,0.00008498998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000510562,"about_ca_system_score_gemma":0.0003126364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560402,"about_ca_topic_score_gemma":0.004809286,"domain_scores_codex":[0.9991612,0.00008386447,0.0002408064,0.0001761457,0.00009186495,0.000246125],"domain_scores_gemma":[0.9996478,0.00006834097,0.0000593263,0.0001153843,0.0000433332,0.00006583962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001224165,0.0006917584,0.8321744,0.00009036004,0.0003046506,0.0003099118,0.003498819,0.00001276494,0.009800941,0.00001386371,0.02195013,0.1299283],"study_design_scores_gemma":[0.0056281,0.008981965,0.8665347,0.0001427983,0.0001703135,0.00001153171,0.0001821257,0.0002971673,0.004787549,0.00003130265,0.1131086,0.00012381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916003,0.0002770442,2.523123e-7,0.004396214,0.0003091873,0.0003757491,0.00002778389,0.00005721427,0.002956274],"genre_scores_gemma":[0.994977,0.000423242,0.00006175726,0.0002131888,0.00009442652,0.0001916452,0.00001704658,0.00001175376,0.004009964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298045,"threshold_uncertainty_score":0.3047251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06173081844583363,"score_gpt":0.3979020942126313,"score_spread":0.3361712757667977,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}